2013 IEEE International Reliability Physics Symposium (IRPS) 2013
DOI: 10.1109/irps.2013.6532093
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Statistical assessment of endurance degradation in high and low resistive states of the HfO<inf>2</inf>-based RRAM

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Cited by 8 publications
(14 citation statements)
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“…These 200 nm by 200 nm devices are cross-point type RRAM with 5.8 nm thick HfO 2 deposited via atomic layer deposition. Additional details about the device structure has been reported elsewhere [25]. For all EDMR measurements we utilized an EDMR spectrometer with a Lakeshore magnet, Mirco-Now microwave-bridge, Stanford Preamplifier, and LabView data acquisition software.…”
Section: Methodsmentioning
confidence: 99%
“…These 200 nm by 200 nm devices are cross-point type RRAM with 5.8 nm thick HfO 2 deposited via atomic layer deposition. Additional details about the device structure has been reported elsewhere [25]. For all EDMR measurements we utilized an EDMR spectrometer with a Lakeshore magnet, Mirco-Now microwave-bridge, Stanford Preamplifier, and LabView data acquisition software.…”
Section: Methodsmentioning
confidence: 99%
“…with n being the number of cycles, T RESET (T SET ) the reset (set) pulse period and T CHECK the time to verify if R is within the targeted R span. However, if the R HRS distribution changes during device operation [6], even a good initial choice of the parameters may cause the algorithm to fail. As such, this scheme is resilient to the "negative set failure" but shows no adaptability to degradation.…”
Section: A Unconstrained Program-verify (Upv)mentioning
confidence: 99%
“…Moreover, we also set boundaries on V RESET to prevent over-reset and under-reset failures (V RESET,MIN =1.3V, V RESET,MAX =1.8V) [11]. The DAPV scheme allows optimizing the reset conditions according to the actual device statistical response [3][4][5], showing adaptability to R HRS distributions degradation [6].…”
Section: B Dispersion-aware Program-verify (Dapv)mentioning
confidence: 99%
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“…he research of novel non-volatile memory technologies satisfying the stringent consumer market requirements has tremendously accelerated in the last years. Among the many proposed solutions, the Resistive Random Access Memory (RRAM) technology represents an attractive option due to its potential for low-complexity, high-density, high-speed, lowcost, low-energy non-volatile operation [1][2][3][4][5][6][7][8][9], which can be exploited in both embedded and stand-alone applications. Furthermore, RRAM devices can easily be integrated in the back-end of line (BEOL) thus enabling innovative logic-inmemory approaches and easier transition toward full-3D architectures [3,9].…”
Section: Introductionmentioning
confidence: 99%